Optimization of Source-Sink Relationship based on a Plant Functional-Structural Model: A Case study on Maize

L. Wu; Philippe De Reffye; François Xavier Le Dimet; Baogang Hu

inria-00122487, version 1

Optimization of Source-Sink Relationship based on a Plant Functional-Structural Model: A Case study on Maize

L. Wu ^1, 2, Philippe De Reffye^a^, 1, François Xavier Le Dimet ³, Baogang Hu ^1, 4

Plant Growth Modeling and Applications (2003) 285-295

Résumé : Based on a functional-structural plant model - GreenLab, the source-sink relationships were investigated in order to analyze the impact of fruit sink strenght on the plant biomass production and partition for an optimal yield in the case of maize. the fruit sink strength optimization comes from the fact that there is competition between the and the leaves in demand of biomass according to the results of GreenLab model calibration. A theorically optimal fruit sink strangth value was therefore acquired by solving a bound-constrained optimization problem to act as an evaluation criterion for the species of maize growing in the field, and we name the optimal value fruit sink reference. The optimization results hold with fruit weight serving as the objective function for the bound-constrained optimization problem. According to the fruit sink reference we can tell the maize in the field is the optimal one or not in the sense of GreeLab plant functional-structural characteristics, and possible instructions for hybridization were drawn.

a – INRIA
1 : Eco-informatics (LIAMA)
Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] – CNRS – Institut national de la recherche agronomique (INRA) – INRIA – Chinese Academy of Science (CAS) – Institute of Automation, Chinese Academy of Sciences
2 : Laboratoire de Modélisation et Calcul (LMC - IMAG)
CNRS : UMR5523 – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG)
3 : IDOPT (INRIA Rhône-Alpes / IMAG)
INRIA – CNRS : UMR5527
4 : National Laboratory of Pattern Recognition [Beijing] (NLPR)
Institute of Automation, Chinese Academy of Sciences

inria-00122487, version 1
http://hal.inria.fr/inria-00122487
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Contributeur : Chine Publications Liama <>
Soumis le : Vendredi 12 Janvier 2007, 11:54:48
Dernière modification le : Vendredi 12 Janvier 2007, 15:02:05

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%% inria-00122487, version 1
%% http://hal.inria.fr/inria-00122487
@inproceedings{wu:inria-00122487,
    hal_id = {inria-00122487},
    url = {http://hal.inria.fr/inria-00122487},
    title = {{Optimization of Source-Sink Relationship based on a Plant Functional-Structural Model: A Case study on Maize}},
    author = {Wu, L. and De Reffye, Philippe and Le Dimet, Fran{\c c}ois Xavier and Hu, Baogang},
    abstract = {{Based on a functional-structural plant model - GreenLab, the source-sink relationships were investigated in order to analyze the impact of fruit sink strenght on the plant biomass production and partition for an optimal yield in the case of maize. the fruit sink strength optimization comes from the fact that there is competition between the and the leaves in demand of biomass according to the results of GreenLab model calibration. A theorically optimal fruit sink strangth value was therefore acquired by solving a bound-constrained optimization problem to act as an evaluation criterion for the species of maize growing in the field, and we name the optimal value fruit sink reference. The optimization results hold with fruit weight serving as the objective function for the bound-constrained optimization problem. According to the fruit sink reference we can tell the maize in the field is the optimal one or not in the sense of GreeLab plant functional-structural characteristics, and possible instructions for hybridization were drawn.}},
    language = {Anglais},
    affiliation = {Eco-informatics - LIAMA , Laboratoire de Mod{\'e}lisation et Calcul - LMC - IMAG , IDOPT - INRIA Rh{\^o}ne-Alpes / IMAG , National Laboratory of Pattern Recognition [Beijing] - NLPR},
    booktitle = {{Plant Growth Modeling and Applications}},
    publisher = {Springer and Tsinghua University Press},
    pages = {285-295},
    address = {BeiJing / China},
    editor = {Hu, B. G. and Jaeger M. },
    audience = {non sp{\'e}cifi{\'e}e },
    year = {2003},
    pdf = {http://hal.inria.fr/inria-00122487/PDF/PMA03\_285\_295\_WL.pdf},
}

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